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Proceedings Paper

Feature extraction based on LBP in bar code detection
Author(s): Ruming Yang; Meng Ding; Jie Wang; Xu Zhang
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Paper Abstract

In order to compare the effects of traditional LBP operators and various improved Local Binary Patterns (LBP) operators’ ability on feature extraction and classification. In this paper, the LBP feature is extracted by slidin g window method. The integrity of the texture information extracted by different LBP operators and the com putational complexity and detection effect are compared. The effects of sliding window parameters on the de tection effect is studied respectively.

Paper Details

Date Published: 15 November 2017
PDF: 10 pages
Proc. SPIE 10605, LIDAR Imaging Detection and Target Recognition 2017, 106052F (15 November 2017); doi: 10.1117/12.2293041
Show Author Affiliations
Ruming Yang, Nanjing Univ. of Aeronautics and Astronautics (China)
Meng Ding, Nanjing Univ. of Aeronautics and Astronautics (China)
Jie Wang, Nanjing Univ. of Aeronautics and Astronautics (China)
Xu Zhang, Nanjing Univ. of Aeronautics and Astronautics (China)


Published in SPIE Proceedings Vol. 10605:
LIDAR Imaging Detection and Target Recognition 2017
Yueguang Lv; Weimin Bao; Weibiao Chen; Zelin Shi; Jianzhong Su; Jindong Fei; Wei Gong; Shensheng Han; Weiqi Jin; Jian Yang, Editor(s)

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